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Record W7026377635

Air carrier liability in case of passenger death or bodily injury under the Montreal Convention

2023· dissertation· en· W7026377635 on OpenAlexaboutno aff

Bibliographic record

VenueE-resource repository of the University of Latvia (University of Latvia) · 2023
Typedissertation
Languageen
FieldMedicine
TopicPrenatal Screening and Diagnostics
Canadian institutionsnot available
Fundersnot available
KeywordsLiabilityConventionAir transportAir travelInterpretation (philosophy)Accident (philosophy)Legal liability
DOInot available

Abstract

fetched live from OpenAlex

This bachelor thesis examines the liability of air carriers for passenger injuries or deaths under the Montreal Convention. With the growing importance of air travel globally, the number of passengers is expected to rise, leading to an increased probability of in-flight injuries. The Montreal Convention offers detailed guidelines outlining the obligations of air carriers in such incidents. To be more precise, air carrier's liability for passenger deaths or injuries during different stages of air travel is emphasized in Article 17 of the Convention, which specifically addresses the conditions under which an accident can be attributed to them. However, this Article contains ambiguous terms that require interpretation by the courts, leading to differing understandings and applications in individual cases. The objective of this thesis is to examine the Montreal Convention's provisions, specifically concentrating on the liability of air carriers and any potential limitations that may exist. By examining relevant case law and legal principles, this study seeks to provide a comprehensive understanding of the legal framework governing air carrier liability.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.409
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.234
Teacher spread0.220 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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